89 search results - page 6 / 18 » Lazy Transformation-Based Learning |
AUSAI
2006
Springer
13 years 11 months ago
2006
Springer
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
ML
2000
ACM
13 years 7 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
ECAI
2000
Springer
13 years 11 months ago
2000
Springer
A number of Inductive Logic Programming (ILP) systems have addressed the problem of learning First Order Logic (FOL) discriminant definitions by first reformulating the FOL lear...
TKDE
2010
13 years 5 months ago
2010
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
CAV
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. A recent approach to automated assume-guarantee reasoning (AGR) for concurrent systems relies on computing environment assumptions for components using the L algorithm fo...